Digital vs. AI-Automated Tracing: A Comparative Analysis of Landmarks
Research type
Research Study
Full title
Digital vs. AI-Automated Tracing: A Comparative Analysis of Landmarks Reliability, Accuracy and Efficiency in Lateral Cephalograms
IRAS ID
348475
Contact name
Niall McGuinness
Contact email
Sponsor organisation
University of Edinburgh
Duration of Study in the UK
0 years, 6 months, 0 days
Research summary
We are conducting a study to compare how well artificial intelligence (AI) software can identify important points on X-ray images of the head (called lateral cephalograms) compared to a digital method carried out by an orthodontist. These points, known as landmarks, are essential in orthodontics for planning and monitoring treatment.
For this study, we will use Dolphin (a digital tracing software) and two AI-powered software programs, WebCeph and AngelAlign, to trace the landmarks on the X-rays. We aim to find out:
- How accurate the AI software is compared to the traditional digital method carried out by a human being,
- Whether the AI software consistently identifies the landmarks in the same way,
- If AI can provide results faster while maintaining accuracy.The landmarks we will analyse are key reference points on the bones and soft tissues of the face, including the jaw, nose, teeth, and other structures important in orthodontic treatment.
This study does not involve direct participation from people. Instead, we will use anonymised X-ray images, meaning all personal information has been removed before analysis. The research will take place at the Edinburgh Dental Institute.”REC name
South East Scotland REC 01
REC reference
25/SS/0014
Date of REC Opinion
19 Feb 2025
REC opinion
Favourable Opinion